Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …

Deep neural networks based purely on attention have been successful across several
domains, relying on minimal architectural priors from the designer. In Human Action …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …

Abnormal event detection is a critical component of intelligent surveillance systems, focusing
on identifying abnormal objects or unusual human behaviours in video sequences …

Occlusions areuniversal disruptions constantly present in the real world. Especially for
sparse representations, such as human skeletons, a few occluded points might destroy the …

Abstract According to the World Health Organization, falling is a significant health problem
that causes thousands of deaths every year. Fall detection and fall prediction tasks enable …

Image Virtual try-on aims at replacing the cloth on a personal image with a garment image
(in-shop clothes), which has attracted increasing attention from the multimedia and computer …

Detection of double compression is regarded as one primary step in analyzing the integrity
of digital videos, which is of prominent importance in video forensics. However, current …